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Sensing Urban Social Geography Using Online Social Networking Data

Lookup NU author(s): Dr Santi Phithakkitnukoon, Professor Patrick OlivierORCiD

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Abstract

Growing pools of public-generated information like online social networking data provides possibility to sense social dynamics in the urban space. In this position paper, we use a location-based online social networking data to sense geo-social activity and analyze the underlying social activity distribution of three different cities: London, Paris, and New York. We find a non-linear distribution of social activity, which follows the Power Law decay function. We perform inter-urban analysis based on social activity distribution and clustering. We believe that our study sheds new light on context-aware urban computing and social sensing.

Publication metadata

Author(s): Phithakkitnukoon S, Olivier P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: International AAAI Conference on Weblogs and Social Media (ICWSM'11)

Year of Conference: 2011

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